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SCMA Spectral and Energy Efficiency with QoS
Samira Jaber1; Wen Chen1; Kunlun Wang2; Qingqing Wu3
2020-12
Conference Name2020 IEEE Global Communications Conference, GLOBECOM 2020
Source Publication2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
Conference Date07-11 December 2020
Conference PlaceTaipei, China
CountryChina
PublisherIEEE
Abstract

Sparse code multiple access (SCMA) is one of the promising candidates for new radio access interface. The new generation communication system is expected to support massive user access with high capacity. However, there are numerous problems and barriers to achieve optimal performance, e.g., the multiuser interference and high power consumption. In this paper, we present optimization methods to enhance the spectral and energy efficiency for SCMA with individual rate requirements. The proposed method has shown a better network mapping matrix based on power allocation and codebook assignment. Moreover, the proposed method is compared with orthogonal frequency division multiple access (OFDMA) and code division multiple access (CDMA) in terms of spectral efficiency (SE) and energy efficiency (EE) respectively. Simulation results show that SCMA performs better than OFDMA and CDMA both in SE and EE.

KeywordDual Method Energy Efficiency Qos Scma Spectral Efficiency
DOI10.1109/GLOBECOM42002.2020.9322571
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Artificial Intelligence ; Telecommunications
WOS IDWOS:000668970503030
Scopus ID2-s2.0-85100377649
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorSamira Jaber
Affiliation1.Shanghai Institute of Advanced Communications and Data Sciences Department of Elecronic Engineering, Shanghai Jiao Tong University, China
2.Shool of Information Sciences and Technology, ShanghaiTech University, China
3.Department of Electrical and Computer Engineering, University of Macau, China
Recommended Citation
GB/T 7714
Samira Jaber,Wen Chen,Kunlun Wang,et al. SCMA Spectral and Energy Efficiency with QoS[C]:IEEE, 2020.
APA Samira Jaber., Wen Chen., Kunlun Wang., & Qingqing Wu (2020). SCMA Spectral and Energy Efficiency with QoS. 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings.
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